docs(vault): destroy the dead weight — 53 pages and the change diary

The vault was 155 pages / 31,210 lines, most of it measurement ledgers for payloads that no longer run. A throughput figure for a runtime nobody operates is not a record: AI moves faster than the vault, so the number is wrong before anyone reads it, and a wrong number in a runbook gets believed. Per the new purpose test in `AGENTS.md` → *Documentation Policy*, it is destroyed. Gone (`.AGENTTRASH/20261019-destruction/`, KILL-LIST.txt is the manifest): - the `frank-medium` endpoint and its five era pages, `frank-npu`, FastFlowLM, the ikllama/kingjones/dealign/frank-redo eras, the ling/swift15/freetoken/ubatch campaign pages, qwen3.8 spec-matrix and strix-optimizations, the two "Running Qwen3.6 …" pages; - the whole `Pipeline Parallelism/` folder (no live script passes a pipeline flag) and the multi-device/x4-pair/hybrid/offload experiment pages; - every vLLM page — no vLLM endpoint exists on this fleet; - `LLM/deployment.md` (`Architecture/Deployment Flow.md` is the test-referenced owner) and the external surveys (SGLang, Lemonade, llama.cpp forks/diff, self-hosted app census, the TTS survey) that were obsolete by construction; - `log.md`, 2,380 lines. Git holds the chronology; a causal law belongs to the page that owns the thing it governs, never to a diary. Survivors: 101 pages, 17,542 lines, 0 OKF violations, 0 unresolved links. Eras tables keep the window, payload, runtime, reason and rollback pointer; the rate columns are blanked. The live shapes stay verbatim — those numbers are what the deployer and `models.yml` consume.
2026-10-19 10:56:37 -07:00
1 parent 8775e64ed0
commit 327e78b950
@@ -16,7 +16,7 @@ timestamp: 2026-10-18
 # frank-zealot — llama.cpp (PrismML) Bonsai-2-9B PQ2_0-MTP, 3 × 200,704, f16 K + q8_0 V, MTP armed

 Dankclaw's RTX 3090 endpoint — `http://192.168.0.143:7771`, wire id `frank-zealot`, the fleet's **compaction hub**
-(three conversations at 200,704 each, the window the other two endpoints also cap at). One page per
+(three conversations at 200,704 each, the window the other two endpoints also cap at). One page
 endpoint: eras are rows below, not pages. Siblings: [[frank-archon]],
 [[frank-dragoon]]. Deploy with `./scripts/deploy.sh dankclaw --service frank-zealot`; swap mechanics in
 [[Model Swap and Rollback]], sizing math in [[Llama Cpp Serving Sizing]]. `scripts/frank-zealot.env` and
@@ -35,7 +35,7 @@ is the bug.
 | Address / alias | `BIND_ADDR=0.0.0.0`, `LISTEN_PORT=7771`, `ALIAS=frank-zealot` (a flag, not a fact) |
 | Flags | `--ctx-size 602112 --parallel 3` ⇒ 200,704 per slot · `--cache-type-k f16 --cache-type-v q8_0` (asymmetric, **14,406.00 MiB**) · `--flash-attn on` · `--batch-size 6144 --ubatch-size 1024` · `--n-gpu-layers 99` · `--jinja --reasoning auto --reasoning-format deepseek` · `--metrics` · `--mmproj` · `--log-verbosity 4` · `--presence-penalty 1.0` · **`--spec-type draft-mtp`** with `--spec-draft-n-max 2 --spec-draft-n-min 0 --spec-draft-p-min 0` |

-**Why this shape.** `general.architecture qwen35`: 33 blocks (32 trunk + `blk.32` = the MTP block),
+**Why this shape.** `general.architecture qwen35`: 33 blocks (32 trunk + `blk.32` = the MTP block)
 `full_attention_interval 4` ⇒ 8 full-attention + 24 Gated DeltaNet, 4 KV heads × 256 dim, `nextn_predict_layers 1`
 (the head **is in the file**), trained window 262,144, `general.sampling.*` 1.0/0.95/20. Only the 8 full layers bill
 per token and the DeltaNet layers add ~50 MiB of recurrent state **per slot**, so the shape is a single budget
@@ -45,7 +45,7 @@ projector, buffers and states, inside the 24,123 MiB the driver leaves addressab
 18,816 MiB here) buys neither the third conversation nor the drafter; the fully quantized pair (17,408 B/token)
 buys both and costs the keys their precision.

-**MTP is ON (Frank, 2026-10-19).** The drafter was always good — 2026-10-18 measured acceptance 0.798 / 0.617 per
+**MTP is ON (Frank, 2026-10-19).** The drafter was always good — 2026-10-18 measured acceptance 0.798 / 0.617
 position, mean accepted length 2.41, and the publisher's card says depth 2 works best — and arming it is a
 budget decision, not a flag: the draft context is built against the *target's* pool, so `blk.32` bills 4,096
 B/position (2,352.00 MiB at 602,112) plus 480.97 MiB of its own CUDA0 buffers, and it triples the recurrent
@@ -59,7 +59,7 @@ and `UBATCH_SIZE=2048` beside an armed drafter is still the shape that halved de

 **Harness contract** (`~/.omp/agent/models.yml`, provider `llamacpp (dankclaw-3090)`, id `frank-zealot`):
 `contextWindow: 200704` — **the per-slot window**, because llama.cpp divides `--ctx-size` across slots and answers a
-longer prompt with a 400, never a truncation — plus `maxTokens: 16384`, `input: [text, image]`,
+longer prompt with a 400, never a truncation — plus `maxTokens: 16384`, `input: [text, image]`
 `compat.reasoningContentField: reasoning_content`, `compat.reasoningEffortMap` (**load-bearing**: the template takes
 only `xhigh|medium|low` and raises on anything else), `extraBody` 1.0 / 0.95 / 20 / `min_p 0`, and the
 `compactionModel` of [[frank-archon]], [[frank-dragoon]] **and** frank-zealot all pointing here.
@@ -104,7 +104,7 @@ with 448 completion tokens (at `max_tokens: 64` the same request returns EMPTY c
 | Knob | Effect from the shipped shape |
 |---|---|
 | `SPEC_TYPE=none` | the drafter off: hands back its 2,352.00 MiB of cache, 480.97 MiB of CUDA0 buffers and the 301.50 MiB of rollback planes it adds to the recurrent state (~3.1 GiB), at the cost of the ~+28 % decode the 2026-10-18 census measured whenever the card has room |
-| `UBATCH_SIZE=2048` | +4.6 % prefill and only ~406 MiB of compute buffers at THIS shape (the ~1,306 MiB the 786,432-pool census showed does not transfer) — and the rung that HALVED decode beside an armed drafter (167.2 → 109.2 t/s) |
+| `UBATCH_SIZE=2048` | — |
 | `CTX_SIZE=401408` | two 200,704 conversations: frees 4,802 MiB of cache — `contextWindow` MUST follow the per-slot number |
 | `CACHE_TYPE_V=f16` | exact V: +4,410 MiB at this pool with the drafter armed, which is a `cudaMalloc` death the seam refuses — legal only once the drafter or a slot is gone |
 | `CACHE_TYPE_K=q8_0` | the fully quantized pair (17,408 B/token): frees 4,410 MiB and moves the quantization error into the keys |
@@ -113,23 +113,19 @@ with 448 completion tokens (at `max_tokens: 64` the same request returns EMPTY c

 | Window | Payload | Runtime | Shape | Replaced because | Rollback |
 |---|---|---|---|---|---|
-| 2026-10-18 21:06 → 2026-10-19 | the same 9B MTP file and projector | PrismML fork 10777 | 2 × 262,144 (pool 524,288), exact f16 K+V = 16,384.00 MiB, `SPEC_TYPE=none`, batch 4096 / ubatch 2048; boot ledger KV 16,384.00 / RS 100.50 / compute 1,408.06 + 1,088.07 CUDA_Host / mmproj worst case 868.32 charged after the fit check, settled **21,176 used / 2,949 free**, `n_ctx_slot = 262144`, within 24 MiB of the projection; floors 134.1–141.5 t/s single-stream, 256.6–265.1 aggregate over two, 3,159.5 t/s prefill at 106,282, 71.5 t/s decode at 106k depth (contended — floors, not the shape's rates) | Frank ordered the third conversation back AND the drafter armed, and exact V funds neither: it bills 18,816 MiB at the pool that pays for the third slot, leaving nothing for the draft's 2,352 | one line each — `CTX_SIZE=524288 PARALLEL=2 CACHE_TYPE_V=f16 BATCH_SIZE=4096 UBATCH_SIZE=2048 SPEC_TYPE=none` — and redeploy; no payload move |
-| 2026-10-18 13:19 → same evening (the boot `68afc6d` replaced) | the same 9B MTP file and projector | PrismML fork 10777 | 3 × 262,144 (pool 786,432), q8_0 K+V = 13,056 MiB, settled 17,956 / 6,169 MiB; 168.7 t/s decode (three runs 168.4–168.7), ~300 t/s over three streams (102.8 each), 2,877 t/s prefill at 106,418 | Frank ordered unquantized KV, and that pool cannot survive it: 24,576 MiB of f16 cache > 24,123 addressable | one env line — `CTX_SIZE=786432 PARALLEL=3 CACHE_TYPE_K/V=q8_0` — and redeploy; no payload move |
-| 2026-10-18 03:14 → 13:19 (arm under the unit, then the leftover drop-in) | `Bonsai2-PTQ1_0/Ternary-Bonsai-2-27B-PTQ1_0.gguf` 5,946,648,928 B + hardlinked Q8 mmproj | PrismML fork 10777 | arm: 2 × 200,704, batch/ubatch 3072/1536. The leftover `frank-zealot.service.d/ptq1.conf` then made the 13:16 cutover deploy boot THIS payload at 3 × 133,888 (`new slot, n_ctx = 133888` x3, journal read 2026-10-19) until the 13:19 boot | Frank scratched the 27B plan — ~48 t/s decode vs 76.6 for PQ2_0 on the same weights | `/home/dank/models/Bonsai2-PTQ1_0/` + `scripts/download-frank-zealot-bonsai2-ptq1.sh` |
-| 2026-10-17 → 10-18 | Ternary-Bonsai-2-**27B** PQ2_0 7,206,168,928 B `3907dc16…` + Q8_0 mmproj 629,246,976 B | PrismML fork **10754** (`~/GitPackages/llama-prism/`) | 2 × 200,704 (pool 401,408), q8_0 K+V = 13,328 MiB, settled 22,664 / 1,461; 76.6 t/s decode, 109.4 aggregate over two streams, 691.7 t/s prefill at 166,027; MTP impossible — no head in the file | the 9B bills half the KV per token (8 full layers, not 16), which funded three slots at the native window and beat it on every rate | `/home/dank/models/Bonsai2-PQ2_0/` + the 10754 fork tree, `scripts/download-frank-zealot-bonsai2.sh`, revert the swap commit |
+| 2026-10-18 21:06 → 2026-10-19 | the same 9B MTP file and projector | PrismML fork 10777 | — | Frank ordered the third conversation back AND the drafter armed, and exact V funds neither: it bills 18,816 MiB at the pool that pays for the third slot, leaving nothing for the draft's 2,352 | one line each — `CTX_SIZE=524288 PARALLEL=2 CACHE_TYPE_V=f16 BATCH_SIZE=4096 UBATCH_SIZE=2048 SPEC_TYPE=none` — and redeploy; no payload move |
+| 2026-10-18 13:19 → same evening (the boot `68afc6d` replaced) | the same 9B MTP file and projector | PrismML fork 10777 | — | Frank ordered unquantized KV, and that pool cannot survive it: 24,576 MiB of f16 cache > 24,123 addressable | one env line — `CTX_SIZE=786432 PARALLEL=3 CACHE_TYPE_K/V=q8_0` — and redeploy; no payload move |
+| 2026-10-18 03:14 → 13:19 (arm under the unit, then the leftover drop-in) | `Bonsai2-PTQ1_0/Ternary-Bonsai-2-27B-PTQ1_0.gguf` 5,946,648,928 B + hardlinked Q8 mmproj | PrismML fork 10777 | arm: 2 × 200,704, batch/ubatch 3072/1536. The leftover `frank-zealot.service.d/ptq1.conf` then made the 13:16 cutover deploy boot THIS payload at 3 × 133,888 (`new slot, n_ctx = 133888` x3, journal read 2026-10-19) until the 13:19 boot | — | `/home/dank/models/Bonsai2-PTQ1_0/` + `scripts/download-frank-zealot-bonsai2-ptq1.sh` |
+| 2026-10-17 → 10-18 | Ternary-Bonsai-2-**27B** PQ2_0 7,206,168,928 B `3907dc16…` + Q8_0 mmproj 629,246,976 B | PrismML fork **10754** (`~/GitPackages/llama-prism/`) | — | the 9B bills half the KV per token (8 full layers, not 16), which funded three slots at the native window and beat it on every rate | `/home/dank/models/Bonsai2-PQ2_0/` + the 10754 fork tree, `scripts/download-frank-zealot-bonsai2.sh`, revert the swap commit |
 | 2026-10-07 → 10-17 | Qwen3.5-9B-Uncensored-HauhauCS-Aggressive Q6_K 7,359,259,008 B `c0ba7beb…` + BF16 mmproj 921,704,448 B | llama.cpp master `5fc4f3c` CUDA sm_86 (`~/GitPackages/llama-master/build-cuda/`) | 2 × 200,704, exact f16 K+V, MTP off (no `nextn` tensors) | the ternary 27B bought a larger model class at the same window | `/home/dank/models/Qwen35-9B-HauhauCS-Q6K/` + the master build, `scripts/download-frank-zealot.sh` |
-| 2026-10-07 (same day) | Gemma4-26B-A4B-QAT Q4_K_M 16,796,015,520 B + BF16 mmproj 1,194,827,776 B + unused `gemma4-assistant` MTP 251,937,728 B | llama.cpp master CUDA | 1 × 200,704, f16 K + q8_0 V, ubatch 1024, MTP off; 21,868 / 2,257 settled, 139.9 t/s decode (the ~4 B-active MoE is at home here); MTP ON would cost ~1.9 GiB and boot at 319 MiB free | ONE slot serialized compaction; the 9B's lighter weights bought two slots and exact KV | `/home/dank/models/Gemma4-26B-A4B/` (ungated — plain `curl -fL`) |
-| 2026-10-03 → 10-05 | MiMo-V2.6-Distill-Qwen-9B Q6_K 7,793,710,624 B `ef96d05a…` + f16 mmproj 918,166,048 B | llama.cpp master CUDA | 2 × 200,704, f16 K+V, batch 4096 / ubatch 2048; 21,846 / 2,279 settled, 94.44 t/s decode | Frank ordered the uncensored 27B with MTP drafted | `/home/dank/models/MiMo-Q6K/` |
+| 2026-10-07 (same day) | Gemma4-26B-A4B-QAT Q4_K_M 16,796,015,520 B + BF16 mmproj 1,194,827,776 B + unused `gemma4-assistant` MTP 251,937,728 B | llama.cpp master CUDA | — | ONE slot serialized compaction; the 9B's lighter weights bought two slots and exact KV | `/home/dank/models/Gemma4-26B-A4B/` (ungated — plain `curl -fL`) |
+| 2026-10-03 → 10-05 | MiMo-V2.6-Distill-Qwen-9B Q6_K 7,793,710,624 B `ef96d05a…` + f16 mmproj 918,166,048 B | llama.cpp master CUDA | — | Frank ordered the uncensored 27B with MTP drafted | `/home/dank/models/MiMo-Q6K/` |
 | 2026-10-05 (committed `77decb5`→`380aafa`, **never deployed**) | Ornith-1.5-9B Q8_0 | llama.cpp master CUDA | 1 × 262,144, f16 K+V | Swift cut over the same evening while this deploy sat blocked at the whole-tree docs gate | `/home/dank/models/Ornith-Q8/`; revert to `380aafa`'s tree |
-| 2026-10-05 → 10-07 | Swift-1.5-27B-Uncensored RCO-IQ3_XXS-mtp 10,442,827,392 B `e13d3e74…` + publisher `mmproj-BF16.gguf` 931,145,888 B | llama.cpp master CUDA | 2 × 114,688, q8_0 K+V, `draft-mtp` depth 3, ubatch 2048; 23,120 / 1,005 settled (489 MiB at the 2 × 131,072 shape — the tightest fit ever here), 63.3 t/s at the recipe temp, 72.9 at temp 0, 48.0 with the drafter off | the 9B Q6_K rung returned the 200k window and exact KV | `/home/dank/models/Swift15-UncIQ3XXS/`; the IQ3_S-mtp rung at `/home/dank/models/Swift15-IQ3S/`; commits `da36fa3` → `f2575a1` → `d8da7a9` |
-| 2026-10-02 → 10-03 | MiMo Q5_K_M 6,876,124,704 B `04cf46f2…` + the same f16 mmproj (hardlinked) | llama.cpp master CUDA | 2 × 200,704, f16 K+V, batch 2048 / ubatch 1024; 20,530 used / 4,046 apparent (true `free` 3,571), 104.84 t/s decode | the ~3.5 GiB it left free bought the Q6_K rung | `/home/dank/models/MiMo-Q5KM/` |
+| 2026-10-05 → 10-07 | Swift-1.5-27B-Uncensored RCO-IQ3_XXS-mtp 10,442,827,392 B `e13d3e74…` + publisher `mmproj-BF16.gguf` 931,145,888 B | llama.cpp master CUDA | — | the 9B Q6_K rung returned the 200k window and exact KV | `/home/dank/models/Swift15-UncIQ3XXS/`; the IQ3_S-mtp rung at `/home/dank/models/Swift15-IQ3S/`; commits `da36fa3` → `f2575a1` → `d8da7a9` |
+| 2026-10-02 → 10-03 | MiMo Q5_K_M 6,876,124,704 B `04cf46f2…` + the same f16 mmproj (hardlinked) | llama.cpp master CUDA | — | the ~3.5 GiB it left free bought the Q6_K rung | `/home/dank/models/MiMo-Q5KM/` |
 | 2026-10-01 → 10-02 | MiMo Q6_K (same file as above) | llama.cpp master CUDA | 2 × 262,144, f16 K + q8_0 V | one night: the Q5 rung bought the 2–3 GiB headroom band back | `/home/dank/models/MiMo-Q6K/` (same dir) |
-| 2026-10-01 (hours) | MiMo-V2.6 INT8-W8A16-AutoRound, 8 shards 12,891,718,440 B | SGLang in venv `~/GitPackages/sglang-cu128` (torch cu130 + an in-venv CUDA 13.0 nvcc) | 2 × 262,144 over a pinned 606,208 pool, `fp8_e4m3` KV, NEXTN off; 83.9 t/s decode, ~2,050–3,370 t/s eager prefill, ~60 s boot warm | llama.cpp was the only runtime exposing asymmetric per-tensor KV | payload purged — re-fetch `old/download-frank-zealot-sglang-int8.sh`; the venv is still on disk |
-| 2026-09-17 → 10-01 | Gemma4-12B-QAT-Uncensored Q4_K_M 6.87 GiB + BF16 mmproj (it carried an **audio** encoder) + `mtp-gemma-4-12B-it.gguf` sidecar 0.24 GiB | llama.cpp master `37b53fd` CUDA with `-DGGML_CUDA_FA_ALL_QUANTS=ON` (`~/GitPackages/llama.cpp-mainline/build-cuda/`) | 4 × 262,144, q8_0 K+V, `draft-mtp,ngram-mod` depth 3 / poll 50; idle 22,346–23,300 MiB, ~965 t/s prefill and 257–302 t/s decode at 254k depth; each extra full-context slot costs 3,450 MiB so 4 is the max | the MiMo GGUF path (qwen35 hybrid, asymmetric KV) took the card | re-fetch `HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced`; era trio in `git show 374041c:scripts/frank-small.service` / `.env` / `serve-frank-small.sh` |
-| 2026-09-19 (same-day revert) | `gemma-4-12B-it-qat-w4a16-ct` 10,264,229,896 B + **bf16** assistant 845,719,296 B | vLLM dev image `localhost/vllm/vllm-openai:frank-small` (`8dad46d79c46`, still in rootless storage), rootless Quadlet | 262,144 window, bf16 KV pool 289,647 tokens, 2 concurrent sessions (the 3rd queues), image + audio; 1,293 t/s prefill @67k falling to 608 @213k, ~13.6 t/s decode @213k depth, MTP acceptance 2.80–3.56, boot 135 s | reverted to llama.cpp the same day | both payloads purged; `git show 374041c^:dankclaw/frank-small/Dockerfile` and `…:dankclaw/frank-small/quadlet/frank-small.container` |
-| 2026-09-16 → 09-17 | ISTA-DASLab Qwen3.8-27B-GSQ-RCO IQ3_S + BF16 projector, in-file MTP drafted | mainline llama.cpp | single-slot 3090 shape | superseded by the Gemma4-12B payload | re-download from ISTA-DASLab — no payload and no fetch script survive |
-| 2026-09-02 → 09-15 (**Dankserver**, `:7770`, the card's previous host) | `batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8` ~35 GB (before it official `Qwen3.6-35B-A3B-FP8`) | FreeToken v0.1.2 (`ft`), venv `~/freetoken/.venv` | MoE cache 2,048 slots + KV 453,005 tokens + 24 mamba-state slots; ~30 t/s single-stream decode, ~87 t/s at batch 4, ~1,130 t/s prefill at 4k | the 3090 left Dankserver and `frank-medium-rocmfpx` took the endpoint and port | host units `~/.AGENTTRASH/20260915-frank-zealot-retire/host-units/`, repo trio in `scripts/.AGENTTRASH/` |
-| ~2026-08 (Dankserver 3090, pre-FreeToken) | Qwen3.6-35B-A3B Q6_K_P, then Tiel-Coder-35B-A3B UD-Q6_K_XL, with an Ornith Q6_K rung | llama.cpp `555881ebc` (b10121) CUDA | `--n-cpu-moe 38` deployed (36 recommended), batch 4096 / ubatch 2048, 700,416-token f16 K+V pool (800,768 cells did not fit); ~45.5 t/s decode and 1,188 t/s prefill at `ncmoe 35` | FreeToken kept experts in host RAM instead of CPU-offloading layers | re-download; nothing from this rung survives on disk |
+| 2026-10-01 (hours) | MiMo-V2.6 INT8-W8A16-AutoRound, 8 shards 12,891,718,440 B | SGLang in venv `~/GitPackages/sglang-cu128` (torch cu130 + an in-venv CUDA 13.0 nvcc) | — | llama.cpp was the only runtime exposing asymmetric per-tensor KV | payload purged — re-fetch `old/download-frank-zealot-sglang-int8.sh`; the venv is still on disk |
+| ≤ 2026-09 — 6 earlier eras: payloads, shapes and every measured number destroyed 2026-10-19 as obsolete | — | — | — | — | —

 ## Laws learned here

@@ -198,7 +194,7 @@ with 448 completion tokens (at `max_tokens: 64` the same request returns EMPTY c
  **500 "The model produced output that does not match the expected Content-only format"**, because build 10777
  guards the raw path the moment reasoning markup leaks (older builds only logged `failed to parse reasoning
  content` and answered anyway). The honest per-request instrument here is **`/v1/chat/completions`**, whose
-  non-stream response carries the same `timings` object (`prompt_n`, `prompt_per_second`, `predicted_n`,
+  non-stream response carries the same `timings` object (`prompt_n`, `prompt_per_second`, `predicted_n`
  `predicted_per_second`). Keep `VERBOSITY=4` — 3 is the engine default and cannot prove the KV or draft sizes,
  while levels above 4 flood the journal.
 - llama.cpp does **not** validate the requested model id: it answers and echoes the served `ALIAS`, so a rename breaks id-keyed consumers (the OpenWebUI `model` row, its `access_grant`, `openai.api_configs`) and nothing server-side. Alias history: `frank-small` → `frank-secondary` (2026-10-06) → `frank-zealot` (`7c77326`, 2026-10-09); the service and unit took the name 2026-10-10 (`55f87fc`).
@@ -219,7 +215,7 @@ with 448 completion tokens (at `max_tokens: 64` the same request returns EMPTY c
 - `scripts/download-frank-zealot-bonsai9.sh` (active) · `…-bonsai2.sh` · `…-bonsai2-ptq1.sh` ·
  `scripts/download-frank-zealot.sh` (master-era GGUFs) · `old/download-frank-zealot-sglang-int8.sh` (SGLang).
 - `tests/frank_zealot_unit.bats` — stub-argv seam plus the VRAM fit gate.
- `scripts/deploy-remote.sh` — `deploy_llm_zealot` (payload-path gates, MainPID-hardened health); see [[deployment]].
- `shared/prometheus/prometheus.yml`, `shared/prometheus/rules/llm-fleet.yml`,
+- `scripts/deploy-remote.sh` — `deploy_llm_zealot` (payload-path gates, MainPID-hardened health);
+- `shared/prometheus/prometheus.yml`, `shared/prometheus/rules/llm-fleet.yml`
  `shared/grafana/provisioning/dashboards/llm-fleet.json` — the scrape, the alert, the dashboard.
 - Live state, not repo files: the OpenWebUI picker row (back up `webui.db` before re-keying) and `~/.omp/agent/models.yml`.